some resources of deep learning and medical image analysis
| Libraries | Usage |
|---|---|
| Albumentations | Fast image augmentation library and an easy-to-use wrapper around other libraries. |
| ANTsPy | Advanced Normalization Tools in Python |
| Gym | A toolkit for developing and comparing reinforcement learning algorithms |
| Kornia | Open source differentiable computer vision library for PyTorch |
| MedPy | Medical image processing in Python |
| MONAI | AI Toolkit for Healthcare Imaging |
| Optuna | A hyperparameter optimization framework |
| Psutils | Cross-platform lib for process and system monitoring in Python |
| PyTorch | Tensors and dynamic neural networks in Python with strong GPU acceleration |
| PyTorch3d | PyTorch3D is FAIR's library of reusable components for deep learning with 3D data |
| PyTorch Geometric | Geometric deep learning extension Library for PyTorch |
| PyTorch Optimizer | Collection of optimizers for PyTorch |
| PyVista | 3D plotting and mesh analysis through a streamlined interface for the VTK |
| SimpleITK | A layer built on top of the ITK |
| TensorFlow | An open source machine learning framework for everyone |
| TensorRT | TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators. |
| Torchinfo | View model summaries in PyTorch |
| TorchIO | Medical image preprocessing and augmentation toolkit for deep learning. |
| Vedo | A python module for scientific analysis of 3D objects based on VTK and Numpy |
| Journal | IF |
|---|---|
| Computer Methods and Programs in Biomedicine | 5.420 |
| Engineering | 7.553 |
| Frontiers in Neuroscience | 4.674 |
| Frontiers in Radiology | TBD |
| IEEE Journal of Biomedical And Health Informatics | 5.773 |
| IEEE Transactions on Biomedical Engineering | 4.531 |
| IEEE Transactions on Computational Imaging | 3.492 |
| IEEE Transactions on Cybernetics | 11.442 |
| IEEE Transactions on Medical Imaging | 10.048 |
| IEEE Transactions on Neural Networks and Learning Systems | 10.450 |
| IEEE Transactions on Pattern Analysis and Machine Intelligence | 16.384 |
| International Journal of Computer Vision | 7.412 |
| Medical Image Analysis | 8.543 |
| Medical Physics | 4.070 |
| Nature Biomedical Engineering | 25.674 |
| Nature Communications | 14.914 |
| Nature Computational Science | TBD |
| Nature Machine Intelligence | 15.500 |
| Nature Medicine | 53.443 |
| Nature Methods | 28.542 |
| Nature Neuroscience | 24.882 |
| Neural Networks | 8.053 |
| Neurocomputing | 5.711 |
| NeuroImage | 6.554 |
| Pattern Recognition | 7.743 |
| Radiology | 11.103 |
| Conference | Abbr |
|---|---|
| ACM International Conference on Multimedia | ACM MM |
| Asian Conference on Computer Vision | ACCV |
| British Machine Vision Conference | BMVC |
| Conference on Computer Vision and Pattern Recognition | CVPR |
| Conference on Neural Information Processing Systems | NeurIPS |
| European Conference on Computer Vision | ECCV |
| International Conference on Computer Vision | ICCV |
| International Conference on Learning Representations | ICLR |
| International Conference on Machine Learning | ICML |
| International Conference on Medical Image Computing and Computer Assisted Intervention | MICCAI |
| International Symposium on Biomedical Imaging | ISBI |
| Medical Imaging with Deep Learning | MIDL |
Data Preparation
Network Training
- My Neural Network isn't working! What should I do?
- Bag of Tricks for Image Classification with Convolutional Neural Networks
- A Recipe for Training Neural Networks
Generative Model
- Multi-task and Multi-channel VAE
- From AE to Beta VAE
- Normalizing Flows Are Not Magic
- Anomaly Detection Using Principal Component Analysis (PCA) Reconstruction Error
Segmentation
Reinforcement Learning
Writing
- Free PDF White Space Cropping Website
- Aims and Objectives – A Guide for Academic Writing
- Latex Symbol and Mark (Chinese)
Research
Geometric Learning
Deep Learning